Mr. Uula Kantojärvi Profile

Uula Kantojärvi

Director, Photonics Products at PiBond Oy

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Publications (8)

Proceedings Article | 5 September 2019 Open Access

Imaging spectral signature instrument airborne campaign results

K. Viherkanto, U. Kantojärvi, B. Harnisch

Proceedings Volume 10565, 105655I (2019) https://doi.org/10.1117/12.2552582

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Proceedings Article | 9 June 2017 Presentation

Intelligent MEMS spectral sensor for NIR applications (Conference Presentation)

Uula Kantojärvi, Jarkko Antila, Jussi Mäkynen, Janne Suhonen

Proceedings Volume 10210, 102100B (2017) https://doi.org/10.1117/12.2262597

KEYWORDS: Near infrared, Microelectromechanical systems, Sensors, Intelligent sensors, Spectrometers, Inspection, Fabry–Perot interferometry, Clouds, Infrared sensors, Spectroscopes

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Proceedings Article | 27 February 2015 Paper

Advanced MEMS spectral sensor for the NIR

Jarkko Antila, Uula Kantojärvi, Jussi Mäkynen, Matti Tammi, Janne Suhonen

Proceedings Volume 9375, 93750F (2015) https://doi.org/10.1117/12.2078635

KEYWORDS: Sensors, Calibration, Microelectromechanical systems, Near infrared, Temperature metrology, Spectrometers, Control systems, Fabry–Perot interferometry, Monochromators, Data modeling

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Proceedings Article | 8 March 2014 Paper

Compact large-aperture Fabry-Perot interferometer modules for gas spectroscopy at mid-IR

Uula Kantojärvi, Aapo Varpula, Tapani Antila, Christer Holmlund, Jussi Mäkynen, Antti Näsilä, Rami Mannila, Anna Rissanen, Jarkko Antila, Rolf Disch, Torsten Waldmann

Proceedings Volume 8992, 89920C (2014) https://doi.org/10.1117/12.2036336

KEYWORDS: Carbon monoxide, Mirrors, Absorption, Mid-IR, Silicon, Fabry–Perot interferometry, Interferometers, Tunable filters, Sensors, Spectroscopy

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Proceedings Article | 18 May 2012 Paper

Spectral imaging device based on a tuneable MEMS Fabry-Perot interferometer

Jarkko Antila, Rami Mannila, Uula Kantojärvi, Christer Holmlund, Anna Rissanen, Ismo Näkki, Jyrki Ollila, Heikki Saari

Proceedings Volume 8374, 83740F (2012) https://doi.org/10.1117/12.919271

KEYWORDS: Atomic layer deposition, Calibration, Microelectromechanical systems, Optical filters, Fabry–Perot interferometry, Spectroscopy, Image filtering, Mirrors, Visible radiation, Sensors

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Proceedings Article | 23 September 2009 Paper

Novel miniaturized hyperspectral sensor for UAV and space applications

Heikki Saari, Ville-Veikko Aallos, Altti Akujärvi, Tapani Antila, Christer Holmlund, Uula Kantojärvi, Jussi Mäkynen, Jyrki Ollila

Proceedings Volume 7474, 74741M (2009) https://doi.org/10.1117/12.830284

KEYWORDS: Hyperspectral imaging, Imaging systems, Image sensors, Fabry–Perot interferometry, Unmanned aerial vehicles, Spectral resolution, Mirrors, Sensors, Prototyping, Multispectral imaging

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Proceedings Article | 17 October 2007 Paper

Performance of the Imaging Spectral Signature Instrument (ISSI) breadboard

Uula Kantojärvi, Kai Viherkanto, Ville Aallos, Heikki Saari, Esko Herrala, Bernd Harnisch

Proceedings Volume 6744, 67441V (2007) https://doi.org/10.1117/12.737800

KEYWORDS: LCDs, Modulation, Spectrographs, Optical filters, Data processing, Spectral resolution, Spectrometers, Cameras, Signal to noise ratio, Image sensors

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Proceedings Article | 16 May 2007 Paper

Imaging spectral signature satellite instrument for the real-time identification of ground scenes with a dedicated spectral signature

Uula Kantojärvi, Heikki Saari, Kai Viherkanto, Esko Herrala, Bernd Harnisch

Proceedings Volume 6585, 65850S (2007) https://doi.org/10.1117/12.723557

KEYWORDS: LCDs, Image sensors, Spectral resolution, Modulation, Spectrometers, Spectrographs, Data processing, Modulation transfer functions, Signal to noise ratio, Liquid crystal on silicon

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With hyperspectral pushbroom imaging spectrometers on Earth observation satellites it is possible to detect and identify dedicated ground pixels by their spectral signature. Conventional time consuming on-ground processing performs this selection by processing the measured hyperspectral data cube of the image. The Imaging Spectral Signature Instrument (ISSI) concept combines an optical on-board processing of the hyperspectral data cube with a thresholding algorithm, to identify pixels with a pre-defined and programmable spectral signature, such as water, forest and minerals, in the ground swath. The Imaging Spectral Signature Instrument consists of an imaging telescope, which images an object line on the entrance slit of a first imaging spectrometer, which disperses each pixel of the object line into its spectral content and images the hyperspectral image on the spatial light modulator. This spatial light modulator will be programmed with a spatial transmission or reflection behavior, which is constant along the spatial pixels and along the spectral pixels identical to a filter vector that corresponds to the spectral signature of the searched specific feature. A second inverted spectrometer reimages the by the first spectrometer dispersed and by the spatial light modulator transmitted or reflected flux into a line of pixels. In case the spectral content of the ground scene is identical to the searched signature, the flux traversing or reflecting the spatial light modulator will be maximum. The related pixel can be identified in the final image as a high signal by a threshold discriminator. A component test setup consists of an imaging lens, two Imspector™ spectrographs, a spatial light modulator, which is a programmable transmissible liquid crystal display and a CCD sensor as a detector. A mathematical model was developed for the instrument and its performance was evaluated in order to compare different concept variations. All components were measured and characterized individually, and the results were used in the simulations. Performance was then analyzed by means of radiometric throughput and spatial and spectral resolutions. The simulations were performed at wavelengths of 450 nm to 900 nm. The throughput was found to be between 1% and 4.5%.

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